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f1 = 0.9200043328984737

loss = 0.06975816480398588

precision = 0.9169132501708561

recall = 0.923116327336858

          precision    recall  f1-score   support

     AFW       0.81      0.77      0.79     10772
     ANM       0.77      0.78      0.77      1951
     CVL       0.89      0.93      0.91    202345
     DAT       0.93      0.92      0.92     30297
     EVT       0.82      0.89      0.85      2137
     FLD       0.91      0.79      0.85     13902
     LOC       0.96      0.94      0.95     20301
     MAT       0.76      0.76      0.76     12840
     NUM       0.83      0.87      0.85     67627
     ORG       0.83      0.90      0.86     60966
     PER       0.88      0.91      0.89     24411
     PLT       0.87      0.87      0.87      2396
     TIM       0.72      0.79      0.76      1389
     TRM       0.94      0.93      0.93   1135765

micro avg 0.92 0.92 0.92 1587099

macro avg 0.85 0.86 0.86 1587099

weighted avg 0.92 0.92 0.92 1587099

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Model size
112M params
Tensor type
F32
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